In cases of very wide-baseline matching or extreme differences in viewing angle, affine-covariant features increase match reliability in comparison to traditional difference-of-Gaussian detectors such as SIFT [1]}. A match between affine-covariant features, which we will call an affine correspondence (AC), estimates a \(2\times 2\)  affine transformation matrix between the local regions around the corresponding points in the two images.
